Live Pricing EngineVerified against official 2026 API docs

AI Cost Calculator & LLM Pricing Estimator

Model production API budgets with high precision. Compare input, cached, output, and reasoning token costs across 19 frontier models from OpenAI, Anthropic, Google, and DeepSeek.

AI Cost & API Budget Estimator

Prices last updated: 2026-09-11

Simulate token bills with prompt caching discounts, batch API pricing, and real-world volume scaling across leading LLMs.

Workload Parameters
Presets:
Tier 1 Quota: 1,000 RPM · 200k TPMModel Specs
tokens
tokens
None (0)

Reasoning models produce hidden deliberation tokens billed at output token rates.

0%
Batch API Mode (50% Off)
24h asynchronous execution discount
Calculated Projection

Claude Sonnet 5

Anthropic
Single Request
$0.0120
$12.00 / 1k reqs
Daily Cost
$12.00
1,000 reqs/day
Monthly (30d)
$360.00
30,000 reqs/mo
Yearly Run-Rate
$4,320.00
Annual projection
Input Tokens (1,500)$0.00450 / req
Output Tokens (500)$0.00750 / req
Total Monthly Volume30,000 requests
Rates verified directly against official API docs.Docs

Workload Cost Comparison Across All Models

Exact cost for 1,500 in + 500 out at 30,000 monthly requests.

Sort by:
ModelProviderPer RequestPer 1,000Monthly (30d)Cache SupportAction
Google$0.00035$0.3500$10.50Yes
Mistral AI$0.00052$0.5250$15.75Yes
DeepSeek$0.00070$0.7000$21.00Yes
Meta / Open$0.00075$0.7500$22.50No
OpenAI$0.00090$0.9000$27.00Yes
Mistral AI$0.00150$1.50$45.00Yes
Meta / Open$0.00200$2.00$60.00No
Google$0.00300$3.00$90.00Yes
OpenAI$0.00385$3.85$115.50Yes
Anthropic$0.00400$4.00$120.00Yes
OpenAI$0.00700$7.00$210.00Yes
OpenAI$0.00900$9.00$270.00Yes
Google$0.00900$9.00$270.00Yes
Anthropic$0.0120$12.00$360.00Yes
OpenAI$0.0160$16.00$480.00Yes
Anthropic$0.0200$20.00$600.00Yes
Anthropic$0.0400$40.00$1,200.00Yes
OpenAI$0.0400$40.00$1,200.00Yes
OpenAI$0.0700$70.00$2,100.00Yes

Real-World Workload Cost Benchmarks

Estimated monthly costs for typical developer architectures with 50% prompt caching applied:

Architecture TierAvg Prompt TokensClaude Sonnet 5GPT-5.6 SolGemini 3.8 FlashClaude Haiku 4.5
Light Chatbot (10k req/mo)500 in / 200 out$0.045 / mo$0.033 / mo$0.011 / mo$0.015 / mo
Document Analysis (50k req/mo)4,000 in / 800 out$1.20 / mo$0.90 / mo$0.30 / mo$0.40 / mo
Production RAG SaaS (500k req/mo)8,000 in / 1,200 out$21.00 / mo$16.00 / mo$5.25 / mo$7.00 / mo
Autonomous Agent Loop (1M req/mo)12,000 in / 2,000 out$66.00 / mo$50.00 / mo$16.50 / mo$22.00 / mo

Frequently Asked Questions About AI API Costing

How is LLM API pricing calculated?

LLM providers bill separately for input tokens (the prompt and context you send) and output tokens (the completion generated by the model). Output tokens are typically 3x to 5x more expensive than input tokens because each generated token requires a sequential autoregressive forward pass through the entire neural network.

How does Prompt Caching reduce my monthly API bill?

When repetitive prompt prefixes (such as system instructions, tool definitions, or retrieved RAG context) exceed the provider's threshold (typically 1,024 tokens), providers cache the Key-Value (KV) attention matrices in server memory. On cache hits, input prices are discounted by 50% to 90%, yielding massive cost reductions for continuous workloads.

What are reasoning tokens, and why do they cost more?

Reasoning models (like OpenAI o3, o3-pro, and o4-mini) execute an internal chain-of-thought before emitting their final answer. These internal deliberation tokens are billed as output tokens at output rates (e.g. $60/1M on o3), which can significantly multiply the total cost per query.

When should I use Batch API mode?

If your application does not require synchronous sub-second responses (such as offline data extraction, overnight evaluation suites, or bulk text summarization), major providers offer 50% discounts on both input and output tokens for queries completed within a 24-hour turnaround window.